Veranstaltungsverzeichnis
Institute for Physics
- English course offer for exchange students :
- V: School of Mathematics and Science
- Institute for Physics
| VAK | Title | Type | SWS | Teachers | Degree |
|---|---|---|---|---|---|
| 5.04.692 |
Laser Safety Instruction
Dates on Thursday. 04.04.19 14:45 - 16:00
Description: The laser safety instruction is offered once a year for Bachelor and Master Students who are going to work with lasers in the lab at HS Emden/Leer. Seminar is embedded in the Basic Lab II, introduction session. Room: Gemeindehaus Paapsand, Paapsand 5, 26723 Emden, Opposite to the library of the Hochschule Emden/Leer.de or in 5.04.4671 Tools in Applied Photonics (Summer Semester) 5.04.4668 Photonics (Winter Semester) |
Seminar | - |
Bert Struve |
|
| 5.04.709 |
Berufsfeldbezogenes Praktikum Engineering Physics
Dates on Friday. 14.06.19 16:00 - 19:00
Description: Die Posterpräsentation findet dieses Semester im Rahmen der 20-Jahr-Feier EP am 14.06.2019 statt. Weitere Termine: - O-Woche im Oktober 2019, Di von 17-19 Uhr (s.t.), Ringebene. - April 2020 Hinweise zur Praxisphase: 1. Vor Antritt der Praxisphase eine Betreuerin / einen Betreuer an den beteiligten Hochschulen suchen. Liste siehe: https://elearning.uni-oldenburg.de/downloads/esis/4242/pruefende/Pr%C3%83%C2%BCferliste%20%20BA%20%20Eng%20Physics.pdf 2. Praxisstelle suchen Die thematische und zeitliche Verknüpfung mit der Bachelor Thesis ist möglich. Es sind zwei getrennte Prüfungsleistungen erforderlich. Genauere Absprache erfolgt mit den jeweiligen Betreuenden. 3. Durchführung (Dauer: 2 Monate) 4. Anerkennung: - Erforderliche Unterlagen lt. Prüfungsordnung (Bericht/Poster…) erstellen und Betreuerin/Betreuer zur Benotung vorlegen. Das Poster kann zeitlich unabhängig von der Präsentation bewertet werden. - Anmeldung zur Posterpräsentation unter Stud IP: 5.04.709 Berufsfeldbezogenes Praktikum Engineering Physcis, Datei prx108_110 Berufsfeldbezogenes Praktikum_Praxismodul Engineering Physics ausfüllen - (Falls die Veröffentlichung erlaubt ist: Hochladen der Poster-Datei unter Stud IP 5.04.709 (Dateiname: Name_Betreuer_Semester_Titel)) - Präsentation des Posters Termine i.d.R. jeweils im April (Sommersemester) und in der O-Woche im Oktober (Wintersemester) in der Woche vor Semesterbeginn. Poster direkt mit zur Veranstaltung bringen und anschließend abgeben. Erläuterung des Inhalts (ca. 5 min) und Diskussion erfolgt am Poster in wechselnden Einzel- oder Kleingruppen. (Es ist keine extra PowerPoint Präsentation nötig.) Betreuerinnen und Betreuer der Hochschulen und Firmen sind herzlich eingeladen. - Minimale Angeben auf dem Poster: Titel, Name, Email-Adresse, Studiengang, Betreuer Hochschule & Firma, Logo’s beider Hochschule & Firma, Größe 70cm x 100cm. Poster, die schon auf Konferenzen präsentiert worden sind, können abweichen. Serviceleistung: Posterdruck an der HS Emden/Leer - Kostenloser Posterdruck für wissenschaftliche Zwecke bei vorhandenem Druckkontingent (1200 Seiten/Semester) - Account beantragen/verlängern (mind. 2 Wochen Vorlaufzeit): sandra.koch@hs-emden-leer.de oder lars.jepsen@hs-emden-leer.de (oder jens.olthoff@hs-emden-leer.de) - Posterdatei (PDF) per email an Herrn Mudder (heyo.mudder@hs-emden-leer.de) schicken. Mindestens eine Woche Vorlaufzeit einplanen. - Nachricht an sandra.koch@hs-emden-leer.de, falls das Poster aus Emden direkt zur Präsentation mitgebracht werden soll. |
Practical course | - |
Dr. rer. nat. Sandra Koch |
|
| 5.04.616 Ü3 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 14:00 - 16:00, weekly (from 10/04/19) Description: |
Exercises | 2 |
TutorInnen, der Physik |
|
| 5.04.4208 |
Oberseminar Signal- und Sprachverarbeitung
Monday: 10:00 - 12:00, weekly (from 01/04/19) Description: Aktuelle Forschungsarbeiten aus folgenden Gebieten der Signal- und Sprachverarbeitung: Ein- und mehrkanalige Sprachverbesserung, Sensornetzwerke, Sprachmodellierung, Sprachtechnologie, Signalverarbeitung für Hörgeräte und Multimedia. |
Forschungsseminare | - |
Prof. Dr. Simon Doclo |
|
| 5.04.634 Ü1 |
Applied Mechanics
Tuesday: 08:00 - 10:00, weekly (from 02/04/19), Vorlesung Dates on Monday. 29.04.19 10:00 - 12:00 Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory |
Exercises | 2 |
Prof. Dr.-Ing. Florian Schmidt |
|
| 5.06.600 |
Laboratory: Performance of Renewable Energy
Friday: 13:00 - 18:00, weekly (from 05/04/19) Description: |
Practical | - |
Robin Knecht Hans-Gerhard Holtorf |
|
| 5.04.620 |
Introduction to "Engineering Physics" - Information
The course times are not decided yet.
Description: Two introduction to a specific field of specialization must be chosen in the winter semester (instead of the Introduction to EP plus ONE introduction to a specialization): Laser and Optics: Introduction to relevant research fields in Laser and Optics. Knowledge of the characteristics of waves, optical radiation, design and function of optical elements and instruments, basic design of photonic systems and optical metrology. Biomedical Physics: Overview of the research fields in Oldenburg related to biomedical physics and acoustics (biomedical signal processing, neuro-sensory science and systems, medical radiation physics, medical imaging). Acoustics: Overview of the research fields in Oldenburg related to acoustics (acoustical signal processing, audiology, noise control and vibration). Renewable Energies: Introduction into the areas of renewable energies, with special emphasis on energy conversion and utilization, based on complex physical models. The student will be able to understand the fundamental principles of the field renewable energies. |
Miscellaneous | - |
Dr. rer. nat. Sandra Koch |
|
| 5.04.471 |
Quantum Structure of Matter
Wednesday: 12:00 - 14:00, weekly (from 03/04/19) Friday: 08:00 - 10:00, weekly (from 05/04/19) Description: |
Lecture | 4 |
Dr. Jose Blazquez Salcedo, Ph.D. |
|
| 5.04.4235 |
Design of Wind Energy Systems
Tuesday: 16:00 - 18:00, weekly (from 02/04/19), Location: W01 0-008 (Rechnerraum) Thursday: 12:00 - 14:00, weekly (from 04/04/19), Location: W32 1-112 Description: The students attending the course will have the possibility to expand and sharpen of their knowledge about wind turbine design from the basic courses. The lectures include topics covering the whole spectrum from early design phase to the operation of a wind turbine. Students will learn in exercises how to calculate and evaluate design aspects of wind energy converters. At the end of the lecture, they should be able to: + estimate the site specific energy yield, + calculate the aerodynamics of wind turbines using the blade element momentum theory, + model wind fields to obtain specific design situations for wind turbines, + estimate the influence of dynamics of a wind turbine, especially in the context of fatigue loads, + transfer their knowledge to more complex topics such as simulation and measurements of dynamic loads, + calculate the economic aspects of wind turbines. Introduction to industrial wind turbine design, + rotor aerodynamics and Blade Element Momentum (BEM) theory, + dynamic loading and system dynamics, + wind field modelling for fatigue and extreme event loading, + design loads and design aspects of onshore wind turbines, + simulation and measurements of dynamic loads, + design of offshore wind turbines, + power quality and grid integration on wind turbines. |
Lecture | 2 |
Prof. Dr. Martin Kühn Binita Shrestha |
|
| 5.04.614 Ü2 |
Electrodynamics and Optics
Monday: 14:00 - 16:00, weekly (from 01/04/19), Location: W03 1-154, W02 1-128 Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Juemin Yi |
|
| 5.04.4669 |
Workshop Management
Tuesday: 10:00 - 12:00, weekly (from 02/04/19), Seminar Description: Students are able to organize summer schools, workshops, events, etc.. |
Seminar | - |
Dr. rer. nat. Sandra Koch Martin Reck |
|
| 5.04.632 |
Basic Laboratory II
Thursday: 09:00 - 13:00, weekly (from 11/04/19), Group A Thursday: 14:00 - 18:00, weekly (from 11/04/19), Group B Dates on Thursday. 04.04.19 10:00 - 16:00 Description: Students will learn the basics of physical experimentation, the use of modern instrumentation, data collection, and analysis using appropriate hardware and software. They deepen lecture material through their own experiments. They acquire the skills for planning, implementation, evaluation, analysis, and reporting of physical experiments and presenting of results using multimedia tools. By working in groups, they gain competencies in the areas of teamwork and communication. Content: Introduction to software for scientific data analysis, analysis and assessment of measurement uncertainties, analysis and verification of measured data, fitting of functions to measured data, dealing with modern measurement techniques, carrying out experiments in the fields of mechanics, electricity, optics, nuclear radiation, electronics, signal acquisition, signal processing. |
Practical | - |
Hans Josef Brückner Dr. rer. nat. Sandra Koch Markus Schellenberg Bert Struve Ulrich Teubner Johannes Diekhoff Sabine Tiedeken Lars Jepsen Volker Braun Stefan Wild |
|
| 5.06.606a |
Resilient Energy Systems
Tuesday: 10:00 - 12:00, weekly (from 02/04/19) Description: “We live in a complex world. Anyone with a stake in managing some aspect of that world will benefit from a richer understanding of resilience and its implications” (Walker, Brian /Salt, David, Resilience Thinking: Sustaining Ecosystems and People in a Changing World, Washington, DC: Island Press, 2006) The transformation of the socio-technical energy supply system is a prime example of an enormously complex process. Besides the development and integration of new technologies and system components related to cope with the increasing share of variable renewable energy sources, issues regarding the system structure and behaviour are becoming ever more relevant: the overcome of the one dimensionality of the generation – consumption architecture of the system, including sector coupling strategies, or the participation of actors and their interest, will strongly shape the future energy system. Each of these issues will take their share to increase the network character and complexity of the system. The increase and format of complexity is strongly related to higher uncertainty and risk, requiring different analysis, controlling and management strategies. Resilience approaches, trying to analyze the response of such a complex system to different stress situations, may help to tackle some of these requirements. The lecture series “Resilient Energy Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods to apply the concept of resilience to energy systems. In order to set the scene a sound and comprising introduction into its roots and different fundamental concepts for understanding current resilience research is given. This is followed by lectures from different experts, focusing each on a particular dimension, method or application context within the field of resilience research. The topics covered by the expert lectures range from electric grid flexibility requirements to risk absorption mechanisms, vulnerability analysis to participation and governance issues, ciber-resilience research or modelling approaches for grid resilience. Experts from the University of Oldenburg such as Prof. Ulrike Feudel, Prof. Joachim Peinke, Prof. Sebastian Lehnhoff or Alexandra Unger as well as external experts like Dr. Urte Brandt (DLR-VE), Dr. Oriol Raventos (DLR-VE) or Mariela Tapia (University of Bremen) are some of the inspiring speakers participating in the lecture series. Each expert lecture is followed by a related seminar in order dive deeper into the particular resilience aspect and facilitate the active engagement of the students. The whole course is composed of the lectures and the seminars, corresponding to 6 CP (Lecture (in StudIP: 5.06.606a) & Seminar (in StudIP: 5.06.606b) – 180 h workload) Main learning outcomes: - Understand different conceptional resilience approaches in the context of RE systems development - Understand strengths and blackspots in the application of resilience or different concepts related to it (e.g. robustness, vulnerability) to the energy system - Understand interdisciplinary dependences and concepts required for designing resilient RE systems: address technical and non technical dimensions of resiliency assessment (economy, participation, …) - Get to know different methods and metrics for assessing/quantifying the concept of resilience for RE systems design - Understand and critically argue on the suitability of methods for resilience assessment in the context of RE systems |
Lecture | - |
Dr. Herena Torio Michael Golba |
|
| 5.04.4663 |
Physics with Ultrashort Pulses and Intense Light
Friday: 11:00 - 15:00, weekly (from 05/04/19), T141, HS Emden Description: Additionally to the lecture (2 SWS, Friday 12-14, extra time from 14-16 has been arranged because the lecturer is off for two weeks ) lab work will be arranged at HS Emden. The students acquire broad experimental knowledge of the application of intense light from femtosecond and high power laser systems. They should be acquainted with the interaction of intense light with matter in general and with respect to important scientific and technical applications (in industry) such as laser material processing, high field physics (i.e. laser matter interaction at high intensity), laser generated particle and radiation sources of ultrashort duration and/or ultrashort wavelength etc. Content: Femtosecond and high power laser systems and its application, absorption of intense laser light, basics of laser matter interaction at high intensity, diagnostics, applications in micro machining, laser generated ultrashort radiation such as high-order laser harmonics and femtosecond K-alpha-sources and keV and MeV electron and ion sources and their application to micro fabrication micro and nano analysis.; atto physics, strong field physics |
Lecture | 4 |
Ulrich Teubner |
|
| 5.04.4666 |
Personalized Medicine
Friday: 12:00 - 14:00, weekly (from 05/04/19) Description: 2 SWS Vorlesung als Blockveranstaltung + Praktikum (Block nach Absprache) Dozent: Prof. Dr. rer. nat. Thorsten Schmidt, thorsten.schmidt1@uni-oldenburg.de |
Lecture | 2 |
Prof. Dr. Thorsten Schmidt |
|
| 5.04.241Ü5 |
Numerische Methoden der Physik/Numerical
Thursday: 14:00 - 16:00, weekly (from 04/04/19) Description: |
Exercises | 2 |
Leen Abdin |
|
| 5.04.616 Ü4 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 16:00 - 18:00, weekly (from 10/04/19) Description: |
Exercises | 2 |
TutorInnen, der Physik |
|
| 5.04.4216 |
Neuroprothetics
Monday: 10:00 - 12:00, weekly (from 01/04/19) Thursday: 10:00 - 12:00, weekly (from 02/05/19) Dates on Monday. 06.05.19 - Thursday. 09.05.19, Monday. 13.05.19 - Thursday. 16.05.19, Monday. 20.05.19 - Thursday. 23.05.19 09:00 - 17:00 Description: In English |
Lecture | - |
Prof. Dr. Mathias Dietz |
|
| 5.06.302 |
Photovoltaic Systems
Thursday: 14:00 - 16:00, weekly (from 04/04/19) Description: |
Lecture | 2 |
Hans-Gerhard Holtorf Robin Knecht Prof. Dr. Jürgen Parisi |
|
| 5.04.616 Ü1 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 10:00 - 12:00, weekly (from 10/04/19) Description: |
Exercises | 2 |
TutorInnen, der Physik |
|
| 5.04.4072 Ü1 |
Übungen zu Computational Fluid Dynamics I
Thursday: 14:00 - 16:00, weekly (from 11/04/19), Location: W02 2-249, W02 2-216 Description: |
Exercises | 1 |
Khaled Yassin Ghazaleh Molla Ahmadi Dehaghi |
|
| 5.06.606b |
Resilient Energy Systems
Tuesday: 08:00 - 10:00, weekly (from 02/04/19) Description: “We live in a complex world. Anyone with a stake in managing some aspect of that world will benefit from a richer understanding of resilience and its implications” (Walker, Brian /Salt, David, Resilience Thinking: Sustaining Ecosystems and People in a Changing World, Washington, DC: Island Press, 2006,) The transformation of the socio-technical energy supply system is a prime example of an enormously complex process. Besides the development and integration of new technologies and system components related to cope with the increasing share of variable renewable energy sources, issues regarding the system structure and behaviour are becoming ever more relevant: the overcome of the one dimensionality of the generation – consumption architecture of the system, including sector coupling strategies, or the participation of actors and their interest, will strongly shape the future energy system. Each of these issues will take their share to increase the network character and complexity of the system. The increase and format of complexity is strongly related to higher uncertainty and risk, requiring different analysis, controlling and management strategies. Resilience approaches, trying to analyze the response of such a complex system to different stress situations, may help to tackle some of these requirements. The lecture series “Resilient Energy Systems” provides the theoretical background for understanding main concepts and interdisciplinary scientific methods to apply the concept of resilience to energy systems. In order to set the scene a sound and comprising introduction into its roots and different fundamental concepts for understanding current resilience research is given. This is followed by lectures from different experts, focusing each on a particular dimension, method or application context within the field of resilience research. The topics covered by the expert lectures range from electric grid flexibility requirements to risk absorption mechanisms, vulnerability analysis to participation and governance issues, ciber-resilience research or modelling approaches for grid resilience. Experts from the University of Oldenburg such as Prof. Ulrike Feudel, Prof. Joachim Peinke, Prof. Sebastian Lehnhoff or Alexandra Unger as well as external experts like Dr. Urte Brandt (DLR-VE), Dr. Oriol Raventos (DLR-VE) or Mariela Tapia (University of Bremen) are some of the inspiring speakers participating in the lecture series. Each expert lecture is followed by a related seminar in order dive deeper into the particular resilience aspect and facilitate the active engagement of the students. The whole course is composed of the lectures and the seminars, corresponding to 6 CP (Lecture (in StudIP: 5.06.606a) & Seminar (in StudIP: 5.06.606b) – 180 h workload) Main learning outcomes: - Understand different conceptional resilience approaches in the context of RE systems development - Understand strengths and blackspots in the application of resilience or different concepts related to it (e.g. robustness, vulnerability) to the energy system - Understand interdisciplinary dependences and concepts required for designing resilient RE systems: address technical and non technical dimensions of resiliency assessment (economy, participation, …) - Get to know different methods and metrics for assessing/quantifying the concept of resilience for RE systems design - Understand and critically argue on the suitability of methods for resilience assessment in the context of RE systems |
Seminar | - |
Dr. Herena Torio Michael Golba |
|
| 5.04.4671 |
Tools in Advanced Photonics
Wednesday: 09:00 - 13:00, weekly (from 03/04/19), Labore HS Emden Description: Teaching and learning in this component will be through "hands on" demonstration. This form of teaching and learning is important in acquiring competence and skills and advancing understanding by practical experience. The students learn to consider specific key instrument types in current usage in the field of photonics, laser and optics. This will be delivered in a lab course study format with each instrument being evaluated in terms of operating principle, design, and signal processing. Content: Laser design and concepts in photonics, solid state lasers, tunable laser systems, gas lasers, industrial laser systems, ultrashort laser systems, diode lasers, optical fiber technology, photonics instrumentation. |
Practical | 4 |
Hans Josef Brückner Prof. Dr. Walter Neu, Dipl.-Phys. Bert Struve Ulrich Teubner Markus Schellenberg Sabine Tiedeken Volker Braun Stefan Wild Johannes Diekhoff Prof. Dr.-Ing. Thomas Schüning |
|
| 5.06.306b |
Future Power Supply (Seminar)
Tuesday: 16:00 - 18:00, weekly (from 02/04/19) Description: |
Seminar | 2 |
Prof. Dr. Carsten Agert |
|
| 5.04.4667 |
Biophotonics and Spectroscopy
Tuesday: 08:00 - 10:00, weekly (from 02/04/19) Tuesday: 14:00 - 16:00, weekly (from 02/04/19) Description: Application of atomic and molecular spectroscopy at a wide range of fields, e.g. industrial, biosciences, microscopy, pharmaceutical, environmental, trace analysis: 1. Explain the mechanisms of and fundamental distinctions between molecular and atomic spectroscopy 2. Recognise the issues regarding sensitivity and selectivity of molecular and atomic spectroscopy 3. Evaluate the limitations and analytical issues associated with each method 3. Demonstrate analytical application of these atomic and molecular absorption and emission techniques 4. Discriminate the analytical challenges that can be appropriately solved by these spectroscopic techniques |
Lecture | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Markus Schellenberg Dr. rer. nat. Sandra Koch |
|
| 5.04.647 a/b |
Design Fundamentals
Thursday: 09:00 - 13:00, weekly (from 11/04/19), Group B Thursday: 14:00 - 18:00, weekly (from 11/04/19), Group A Description: The course is 2 hours per week taken together in 6 appointments from the second week on. You have to book the desired date of your course via StudIP by checking into "Participants", ticking in the left hand menu "Groups" and proceed with the date of your choice. Get yourself registered by clicking the second button from the right "Become a memeber of group..." (cf. Documents). E.g. a lab project in the morning means group A (recommanded if you don't participate at a language corse) or group C. If you are taking a language course you definetly have to choose group C Aim/ learning outcome: Achieving basic knowledge in reading, understanding and production of technical drawings, getting and overview about the features of CAD-Software, knowing about the basic principles of designing and dimensioning of machine elements. Content: Rules and Standards for Technical Drawings, Design Phases: • Functional requirements, performance specifications • Design methodology • Decision processes • Detailing • Manufacturing Drawings • Grouping of parts Basic Machine Elements: • Frames • Joints • Bearings • Sealing |
Lecture | - |
Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.648 |
Wind Energy Utilisation
Monday: 16:00 - 18:00, weekly (from 01/04/19), Location: W33 0-003 Thursday: 16:00 - 18:00, weekly (from 04/04/19), Location: W01 0-008 (Rechnerraum) Description: This lecture with exercises is intended as introduction into physics and engineering of wind energy utilisation. Nevertheless also social, historical and political aspects are regarded. The lecture gives a deeper understanding of physical effects, methods, calculations and parameters into the field of wind energy utilisation, wind physics and wind energy science. Experiments and exhibits are used to deliver deeper insights into the subjects of the lectures. The appointments on Thurday are dedicated to a tutorial part. Here, an an introduction into the common and professional software WindPro ® is given and project-oriented work on a design of a wind farm is perfomed. Also, calculation exercises, which have to be solved as homework, are explained. Students who have attended »Wind Energy Utilisation« in the Bachelor phase should be able to directly enrol for advanced wind energy lectures in the Master phase (without attending 5.04.4061 – Wind Energy). Content: • The wind: generation, occurence, measurement, profiles etc.; • Energy and power in the wind; • Drag driven converters; • Principle of lift driven converters; • Dimensionless parameters and characteristic diagrams of wind turbines; • Optimum twist and horizontal plan of the rotor blade; • Rotor power losses; • Power control; • Generator concepts and grid interaction; • Loads; • Mechanical design and components of a wind turbine; • Calculation of energy yield; • Economics; • Wind farms, wakes and wind farm efficiency; • Environmental effects; • Unconventional converters; • Prepared discussion about social and political aspects; • Use of wind farm calculation software WindPro |
Lecture | - |
Prof. Dr. Martin Kühn Dipl.-Ing. Andreas Hermann Schmidt |
|
| 5.04.241Ü4 |
Numerische Methoden der Physik/Numerical
Thursday: 12:00 - 14:00, weekly (from 04/04/19) Description: |
Exercises | 2 |
Mohamed Elshabasi |
|
| 5.04.4586 Ü1 |
Digital Signal Processing
Wednesday: 12:00 - 14:00, weekly (from 03/04/19), Location: W32 1-112, W01 0-008 (Rechnerraum) Description: Engineering Physics: Alternative für Signal- und Systemtheorie |
Exercises | 2 |
Prof. Dr. Simon Doclo |
|
| 5.04.4074 Ü1 |
Übungen zu Computational Fluid Dynamics II
Thursday: 14:00 - 16:00, weekly (from 06/06/19) Description: |
Exercises | 1 |
Ghazaleh Molla Ahmadi Dehaghi Khaled Yassin |
|
| 5.04.241Ü3 |
Numerische Methoden der Physik / Numerics
Wednesday: 14:00 - 16:00, weekly (from 03/04/19) Description: |
Exercises | 2 |
Paul Kranzusch |
|
| 5.04.4074 |
Computational Fluid Dynamics II
Tuesday: 12:00 - 16:00, weekly (from 28/05/19) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD II: Introduction to different CFD models, such as OpenFOAM and PALM. Application of these CFD models to defined problems from rotor aerodynamics and the atmospheric boundary layer. Lehrsprache: "This course will be held in English. If no international students should participate, the course language can also be switched to German." |
Lecture | 2 |
Prof. Dr. Laura Lukassen |
|
| 5.04.4064 |
Advanced Solar Energy Meteorology
Tuesday: 14:00 - 16:00, weekly (from 02/04/19) Description: |
Lecture | 2 |
Dr. Detlev Heinemann |
|
| 5.04.652 |
Hyperloop
The course times are not decided yet.
Description: Das erste Treffen findet nach Vereinbarung statt. |
Project | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
| 5.06.109 |
Simulation of Renewable Energy Systems
Monday: 10:15 - 11:45, weekly (from 01/04/19) Description: Introduction to Software for the Simulation of Renewable Energy Systems |
Lecture | 2 |
Robin Knecht Dr. Herena Torio |
|
| 5.04.898 |
Bremen Oldenburg Relativity Seminar
Friday: 16:00 - 18:00, weekly (from 05/04/19) Description: |
Seminar | - |
Prof. Dr. Jutta Kunz-Drolshagen Claus Lämmerzahl |
|
| 5.04.633 |
Optical Systems
Monday: 12:00 - 14:00, weekly (from 01/04/19) Dates on Monday. 15.07.19 10:00 - 11:30 Description: Fundamentals of optics and theoretical models of light Ray optics, geometrical optics, validity range and applications Behaviour and properties of EM waves and applications Optical imaging Imaging construction elements Microscopy Colours Set-up and function of selected optical systems for illumination and metrology Optical Fibers |
Lecture | - |
Markus Schellenberg |
|
| 5.04.614 Ü4 |
Electrodynamics and Optics
Tuesday: 10:00 - 12:00, weekly (from 23/04/19), Location: W04 1-171, W02 0-067 Tuesday: 16:00 - 18:00, weekly (from 02/04/19), Location: W02 1-128 Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
TutorInnen, der Physik |
|
| 5.04.4236 |
Aeroelastic Simulation of Wind Turbines for EWEM
Tuesday: 16:00 - 18:00, weekly (from 02/04/19) Description: A student who has met the objectives of the course will be able to: o understand the basic concept of an aero-servo-elastic computer code to determine the unsteady aerodynamic loads, o derive and validate the required parameters to model the aero-hydro-elastic response of a wind turbine, o identify and interpret the required empirical parameters to correct the blade element momentum (BEM) method with respect to dynamic inflow, unsteady airfoil aerodynamics (dynamic stall), yawed flow, dynamic wake modeling, o explain the effects of the different models on the resulting time series and validate the code, o interpret design standards for on- and offshore wind turbines, select the required load cases according to site-specific environmental data, o identify the dimensioning load cases and calculate design loads for different main components of a wind turbine. Contents: The course focuses on the practical implications and hands-on experience of the aero-hydro-servo-elastic modelling and simulation of wind turbines. The subjects are similar but the treatment is complementary to the parallel course ‘Design of Wind Energy Systems’, which deals with the underlying theo-retical background: o advanced wind field modelling for fatigue and extreme event loading, o modelling of wind farm flow and wake effects, o rotor aerodynamics (e.g. stationary or dynamic effects, comparison of Blade Element Momentum theory and more advanced methods like free vortex methods or CFD), o structural dynamics and dynamic modelling of wind tur-bine structures (modelling by ordinary or partial differential equations, stochastics, multi body system modelling), o advanced control of wind turbines, o design standards, design loads and design aspects of offshore and onshore wind turbines. The students analyse in pairs a model of an entire wind turbine with the aid of a typical wind turbine design tool like GH Bladed, Flex5 or Aerodyn/FAST. |
Lecture | 2 |
Prof. Dr. Martin Kühn Binita Shrestha |
|
| 5.04.4065 |
Advanced Wind Energy Meteorology
Wednesday: 12:00 - 14:00, weekly (from 03/04/19), Location: W33 0-003, W33 0-001 (alpha) Description: |
Lecture | - |
Dr. Detlev Heinemann |
|
| 5.04.643 |
Micro Technology
Monday: 10:00 - 14:00, fortnightly (from 01/04/19) Description: Aim/learning outcomes: Today micro-electro-mechanical systems (MEMS) and micro opto-electro-mechanical systems (MOEMS) and components are important in daily life and industry. The students get introduced to the modern field of micro technology. In addition this is also of relevance for those who are interested in sensors, in manufacturing of micro electronic components or in special applications of optics and lasers, e.g. laser processing for the micro and nano world. The students get also prepared to make use of tha tknowledge industry. Some practical work is demontrated in the laboratory. Content: Basic technology & methods, processes, materials, thin layers, deposition (e.g., evaporation, sputtering, CVD, diffusion, doping etc.), etching; particular emphasis is put on optical methods such as lithography, deep lithography, LIGA, laser micro machining, femtosecond laser applications. |
Lecture | - |
Ulrich Teubner |
|
| 5.04.666 |
Lasers in Medicine I
Tuesday: 10:00 - 12:00, weekly (from 09/04/19) Description: The students are enabled to understand basic laser biotissue interaction processes based on the knowledge of optical and thermal properties of biotissue. The students are able to describe the principle function of a laser, distinguish between the different laser types and designs regarding medical laser systems. The students have a basic knowledge on beam guiding techniques, medical applicators, and safety requirements. The students gain an overview on lasers in medicine and a first insight into clinical laser applications via an excursion to a clinic. Content: - Optical and thermal properties of biotissue - Basic interaction processes of light and biotissue - Medical laser systems - Beam guiding and applicators - Introduction to lasers in medicine - Laser safety and regulatory affairs in medicine - Insight into clinical laser therapy (Excursion) |
Lecture | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.241Ü2 |
Numerische Methoden der Physik / Numerics
Thursday: 16:00 - 18:00, weekly (from 04/04/19) Description: |
Exercises | 2 |
Nils Brüdigam |
|
| 5.04.614 Ü3 |
Electrodynamics and Optics
Tuesday: 10:00 - 12:00, weekly (from 02/04/19) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Jinxin Zhan |
|
| 5.04.616 Ü2 |
Exercises Mathematical Methods for Physics and Engineering II
Wednesday: 10:00 - 12:00, weekly (from 10/04/19) Description: |
Exercises | 2 |
TutorInnen, der Physik |
|
| 5.04.616 |
Mathematical Methods for Physics and Engineering II
Friday: 12:00 - 14:00, weekly (from 05/04/19) Dates on Tuesday. 23.04.19, Tuesday. 30.04.19, Tuesday. 28.05.19, Tuesday. 18.06.19 16:00 - 18:00 Description: %%aim/ learning outcomes%% To obtain advanced knowledge in application of mathematical methods to solve problems in physics and engineering %%content%% Matrices and vector spaces (linear vector spaces, basis, norm, matrices, matrix operations, determinant, inverse matrix, eigenvalue decomposition) Quadratic forms Linear equations (Gauss elimination, least-squares solution) Functions of multiple variables (stationary points, constrained optimisation using Lagrange multipliers) Fourier series |
Lecture | 2 |
Prof. Dr. Simon Doclo |
|
| 5.06.205 |
Wind Energy Applications - from Wind Resource to Wind Farm Applications
Friday: 08:00 - 10:00, weekly (from 05/04/19) Description: The students acquire an advanced knowledge in the field of wind energy applications. Special emphasis is on connecting physical and technical skills with the know-how in the fields of logistics, management, environment, finances, and economy. Practice-oriented examples enable the students to assess and classify real wind energy projects. Special situations such as offshore wind farms and wind farms in non-European foreign countries are included to give the students an insight into the crucial aspects of wind energy also relating to non-trivial realizations as well as to operating wind farm projects. Contents: Assessment of the resource wind energy: Weibull distribution, measurement of wind speeds to determine the energy yield, fundamentals of the WAsP method, partial models of WAsP, MCP method for long-term correction of measured wind data in correlation with long-term reference data, conditions for stable, neutral and instable atmospheric conditions, wind yield assessments from wind distribution and power curve, fundamentals of determining the annual wind yield potentials of individual single-turbine units. Tracking effects and wind farms: Recovery of the original wind field in tracking flow of wind turbines, fundamentals of the Risø model, distance spacing and efficiency calculation of wind turbines in wind farms, fundamentals of offshore wind turbines, positive and negative effects of wind farms. Operating wind farms: Influences on the energy yield of the power efficiency of wind farms, three-column model of sustainability: “magic triangle”, profit optimization for increased energy production |
Lecture | 2 |
Dr. Hans-Peter Waldl |
|
| 5.04.4072 |
Computational Fluid Dynamics I
Tuesday: 12:00 - 16:00, weekly (from 02/04/19) Description: Deeper understanding of the fundamental equations of fluid dynamics. Overview of numerical methods for the solution of the fundamental equations of fluid dynamics. Confrontation with complex problems in fluiddynamics. To become acquainted with different, widely used CFD models that are used to study complex problems in fluid dynamics. Ability to apply these CFD models to certain defined problems and to critically evaluate the results of numerical models. Content: CFD I: The Navier-Stokes equations, filtering / averaging of Navier- Stokes equations, introduction to numerical methods, finite- differences, finite-volume methods, linear equation systems, NS-solvers, RANS, URANS, LES, DNS, turbulent flows, incompressible flows, compressible flows, efficiency and accuracy. |
Lecture | 2 |
Prof. Dr. Laura Lukassen |
|
| 5.04.4215 |
Machine Learning II – Advanced Learning and Inference Methods
Thursday: 10:00 - 12:00, weekly (from 04/04/19), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Lecture | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.04.4668 |
Zemax
Friday: 09:00 - 11:00, weekly (from 05/04/19) Description: Lecture and project. The lecture time can be shifted according if wanted. |
Lecture | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.4673 |
Hyperloop Engineering
The course times are not decided yet.
Description: Das erste Treffen findet nach Vereinbarung statt. |
Project | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.4212 |
Current Topics in Machine Learning and its Applications
Wednesday: 14:00 - 16:00, weekly (from 03/04/19) Description: The students will learn the current research directions and challenges of the Machine Learning research field. By presenting examples from Machine Learning algorithms applied to sensory data tasks including task in Computer Hearing and Computer Vision the students will be taught the current strengths and weaknesses of different approaches. The presentations of current research papers by the participants will make use of computers and projectors. Programming examples and animations will be used to support the interactive component of the presentations. In scientific discussions of the presented and related work, the students will deepen their knowledge about current limitations of Machine Learning approaches both on the theoretical side and on the side of their technical and practical realizations. Presentations of interdisciplinary research will enable the students to carry over their Machine Learning knowledge to address questions in other scientific domains. Contents: Building up on advanced Machine Learning knowledge, this seminar discusses recent scientific contributions and developments in Machine Learning as well as recent papers on applications of Machine Learning algorithms. Typical application domains include general pattern recognition, computer hearing, computer vision and computational neuroscience. Typical tasks include auditory and visual signal enhancements, source separation, auditory and visual object learning and recognition, auditory scene analysis, data compression and inpainting. Applications to computational neuroscience will discuss recent papers on the probabilistic interpretation of neural learning and biological intelligence. |
Seminar | 2 |
Prof. Dr. Jörg Lücke |
|
| 5.06.306 |
Future Power Supply (Lecture)
Monday: 14:00 - 16:00, weekly (from 01/04/19) Description: |
Lecture | 2 |
Prof. Dr. Carsten Agert Babak Ravanbach |
|
| 5.04.241Ü7 |
Numerische Methoden der Physik / Numerics
Wednesday: 16:00 - 18:00, weekly (from 03/04/19) Description: |
Exercises | 2 |
Nattaporn Prasartthong |
|
| 5.04.1001 |
Introduction to High-Performance Computing
Wednesday: 16:00 - 18:00, weekly (from 03/04/19) Description: |
Lecture | 2 |
Dr. Stefan Harfst |
|
| 5.04.656 |
Seminar Fortgeschrittene Themen in EP / Advanced Topics in EP
Tuesday: 12:00 - 14:00, weekly (from 09/04/19) Description: Participation: 1st -3rd semester. Presentation: Master thesis work in progress or finished; at least one successfully completed specialization module. Bachelor students are welcome as well. |
Seminar | 2 |
Prof. Dr. Walter Neu, Dipl.-Phys. Dr. rer. nat. Sandra Koch |
|
| 5.04.4586 |
Digital Signal Processing
Monday: 16:00 - 18:00, weekly (from 01/04/19) Description: Engineering Physics: Alternative für Signal- und Systemtheorie |
Lecture | 2 |
Prof. Dr. Simon Doclo |
|
| 5.04.4242 |
Selected Topics on Medical Radiation Physics
Monday: 10:00 - 12:00, weekly (from 01/04/19) Description: Neben den aktuellen Themen der Strahlenphysik (wie IMRT, NMR, PET, SPECT usw.) erlernen die Studierenden den Umgang mit meist englischsprachigen Fachzeitschriften aus dem Bereich. Darüber hinaus werden Präsentationstechniken durch eigene Vorträge erlernt. Parallel zu der Veranstaltung wird die Verwendung eines Monte-Carlo Strahlungstransport-Codes (EGS) erlernt und somit die Fähigkeit vertieft, komplexe physikalische Modelle in eine Software umzusetzen. |
Seminar | - |
Prof. Dr. Björn Poppe Antje Ruehmann, Ph.D. |
|
| 5.04.241Ü1 |
Numerische Methoden der Physik / Numerics
Thursday: 12:00 - 14:00, weekly (from 04/04/19) Description: |
Exercises | 2 |
Pamina Lässing |
|
| 5.04.642 |
Electronics
Tuesday: 12:00 - 16:00, weekly (from 02/04/19) Description: The students acquire basic competences to set-up and analyze digital and analog electronic circuits; furthermore basic knowledge for measurement methods as well as for handling measurement systems are imparted. content: logic functions and gates, digital circuit analysis and synthesis, flip-flops, digital counters and memories, A/D- and D/A converters, programmable logic devices , impedances, inductances and capacitances, complex alternating electric quantities, RCL-filter circuits, semiconductor circuits, rectifier circuits, operational amplifier circuits |
Lecture | - |
Hans Josef Brückner |
|
| 5.04.241Ü6 |
Numerische Methoden der Physik/Numerics
Wednesday: 14:00 - 16:00, weekly (from 03/04/19) Description: |
Exercises | 2 |
Jonas Klug |
|
| 5.04.614 Ü1 |
Electrodynamics and Optics
Tuesday: 10:00 - 12:00, weekly (from 02/04/19) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Exercises | 2 |
Matheus do Carmo Teodoro |
|
| 5.04.4079 |
Advanced computational fluid dynamics and wind turbine aerodynamics
Wednesday: 14:00 - 16:00, weekly (from 03/04/19) Description: The aim is that the students learn how to approach all kinds of real numerical problems in CFD and solve them. Everyone is supposed to be set up to date on the current problems and challenges of CFD in aerodynamics and their solutions. Content: CFD wake modeling, grid generators and computational stability, developing fluid structure interaction solvers, detached eddy simulations (DES), turbulent inflow field generation |
Seminar | 2 |
Dr. Bernhard Stoevesandt |
|
| 5.04.6610 |
Modern Methods in Optical Microscopy
Tuesday: 14:00 - 16:00, weekly (from 02/04/19) Description: Please subscribe as well in 5.04.4667 Vorlesung: Biophotonics to get necessary documents and information. The seminar "Modern Methods in Optical Microscopy" is part of "Advanced Metrology" and might be offered parallel with the seminar of "Biophotonics" (depending on the amount of participants). Examination: presentation in each part. - Demonstrate knowledge, fundamental understanding and critical awareness of current research fields in state-of-the-art optical microscopy. - Personal development through practice of communication, presentation, time management, teamwork, problem solving, project management, critical evaluation, numeracy, and IT skills. - Students are able to prepare a written scientific report on their own and present their results in an appropriate way to the group; in particular to understand, analyze, classify and work on an advanced microscopy topic, thoroughly study the recommended (and further) literature; find and critically check relevant literature make and incorporate their own thoughts, write down and present their results in a mathematically correct and comprehensible way, finish in time. Topics to be covered will include: microscopy, wave optics, optical imaging, spatial/temporal coherence, light generation/detection, e.g.: - Confocal microscopy - Superresolution microscopy - Single Molecule Imaging - Imaging of living tissue - Raman microscopy - Stochastic microscopy |
Seminar | 2 |
Markus Schellenberg Prof. Dr. Walter Neu, Dipl.-Phys. |
|
| 5.04.241 |
Numerische Methoden der Physik / Numerics
Monday: 14:00 - 16:00, weekly (from 01/04/19) Description: Themen der Veranstaltung sind endliche Zahlendarstellung und numerische Fehler, grundlegende numerische Methoden (Differentiation und Integration), lineare und nichtlineare Gleichungssysteme, Funktionenminimierung, Modellierung von Messdaten, diskrete Fouriertransformation, gewöhnliche und partielle Differentialgleichungen, sowie weitere grundlegende numerische Methoden. In der Übung werden die in der Vorlesung erlernten numerischen Methoden teilweise selbst implementiert (programmiert) und auf physikalische Problemstellungen aus Mechanik, Elektrodynamik etc. angewandt. Die Studierenden erlangen theoretische Kenntnisse der grundlegenden numerischen Methoden sowie praktische Fertigkeiten zur Anwendung dieser theoretischen Kenntnisse zur Modellierung und Simulation physikalischer Phänomene auf dem Computer. |
Lecture | 2 |
Dr. Bernd Meyer Prof. Dr. Mathias Dietz |
|
| 5.04.4672 |
Hyperloop Messtechnik
The course times are not decided yet.
Description: Das erste Treffen findet nach Vereinbarung statt. |
Project | - |
Prof. Dr. Walter Neu, Dipl.-Phys. Prof. Dr.-Ing. Thomas Schüning |
|
| 5.04.614 |
Electrodynamics and Optics
Monday: 16:00 - 18:00, weekly (from 01/04/19) Wednesday: 12:00 - 14:00, weekly (from 03/04/19) Description: Basics of Electrostatics Matter in an electric field The magnetic field Electrical circuits Motion of charges in electric and magnetic fields Magnetism in matter Induction Electromagnetic waves Light as electromagnetic wave |
Lecture | 4 |
Prof. Dr. Steven van de Par |
|
| 5.04.634 |
Applied Mechanics
Wednesday: 08:00 - 10:00, weekly (from 03/04/19), Vorlesung Description: Lecture from 8 am, s.t. to 10 am s.t. Achieving basic knowledge in applied mechanics, especially in statics and elasticity theory. Content: Static equilibrium (mainly 2D), frame works, friction (Coulomb), Hooke's law (3D including lateral contraction and thermal expansion), bending and torsion with planar cross sections, Mohr's theory |
Lecture | 2 |
Prof. Dr.-Ing. Florian Schmidt |
|
| 5.04.4234 |
Wind Physics Measurement Project
Monday: 12:00 - 14:00, weekly (from 01/04/19) Description: Case study like problems based on real wind data will be solved on at least four important aspects in wind physics. The course will comprise lectures and assignments as well as self-contained work in groups of 3 persons. The content consist of the following four main topics, following the chronological order of the work process: Data handling: - measurements - measurement technology - handling of wind data - assessment of measurement artefacts in wind data - preparation of wind data for further processing Energy Meteorology: - geographical distribution of winds - wind regimes on different time and length scales - vertical wind profile - distribution of wind speed - differences between onshore and offshore conditions. Measure – Correlate – Predict (MCP): - averaging of wind data - bin-wise averaging of wind data - long term correlation and long term correction of wind data - sources of long term wind data. LIDAR (Light detection and ranging): - analyses and conversion of data from LIDAR measurements |
Lecture | - |
Prof. Dr. Martin Kühn Dr. Detlev Heinemann Dr. Matthias Wächter, Dipl.-Phys. Prof. Dr. Joachim Peinke |
|
| 5.04.4669 Ü |
Workshop Management
Friday: 10:00 - 12:00, weekly (from 05/04/19), Seminar Description: Students are able to organize summer schools, workshops, events, etc.. |
Seminar | - |
Dr. rer. nat. Sandra Koch Martin Reck |
|
| 5.06.511 |
Sustainability of Renewable Energy
Thursday: 08:00 - 12:00, weekly (from 04/04/19) Description: Content: - Introduction to the term sustainability - Strategies and dimensions in sustainability research and discussion: efficiency, consistency and sufficiency, as well as related concepts (e.g. rebound) - Growth/De-growth and decoupling of growth and emission - Life-cycle analysis - Thermodynamic methods: exergy, EROI and related approaches - Social indicators and their relation to energy use - Economic indicators and related paradigms in the context of energy consumption - Case study on the real life renewable energy project DESERTEC After successful completion of the seminar students should be able to: - analyse, and critically compare and evaluate selected sustainability concepts and strategies addressing renewable energy systems - critically appraise and analyse the principles and implications of selected scientific methods and theories for a sustainable energy supply - critically evaluate the suitability and meaningfulness of different sustainability indicators, theories, methods and practices regarding their role and impact for developed countries, on the one hand, and developing countries, on the other - perform an integral assessment, involving several relevant aspects related to the sustainability of a particular real-life renewable energy project as well as identify the main barriers, potentials and driving factors for improving it - perform a literature review on selected sustainability approaches to a professional standard and extract the main related conclusions, and arguing critically on them - present data and information both verbally and in the written form, including quotation to a professional standard |
Seminar | 4 |
Dr. Herena Torio Michael Golba |
|
| 5.04.4215 Ü1 |
Machine Learning II – Advanced Learning and Inference Methods
Tuesday: 14:00 - 16:00, weekly (from 02/04/19), Übung Description: The students will deepen their knowledge on mathematical models of data and sensory signals. Building up on the previously acquired Machine Learning models and methods, the students will be lead closer to current research topics and will learn about models that currently represent the state-of-the-art. Based on these models, the students will be exposed to the typical theoretical and practical challenges in the development of current Machine Learning algorithms. Typical such challenges are analytical and computational intractabilities, or local optima problems. Based on concrete examples, the students will learn how to address such problems. Applications to different data will teach skills to use the appropriate model for a desired task and the ability to interpret an algorithm’s result as well as ways for further improvements. Furthermore, the students will learn interpretations of biological and artificial intelligence based on state-of-the-art Machine Learning models. Contents: This course builds up on the basic models and methods introduced in introductory Machine Learning lectures. Advanced Machine Learning models will be introduced alongside methods for efficient parameter optimization. Analytical approximations for computationally intractable models will be defined and discussed as well as stochastic (Monte Carlo) approximations. Advantages of different approximations will be contrasted with their potential disadvantages. Advanced models in the lecture will include models for clustering, classification, recognition, denoising, compression, dimensionality reduction, deep learning, tracking etc. Typical application domains will be general pattern recognition, computational neuroscience and sensory data models including computer hearing and computer vision. |
Exercises | 2 |
Prof. Dr. Jörg Lücke |
|
| 72 Seminars | |||||